Name
Abstract | ||
|---|---|---|
This paper discusses an application of neural network system on the performance prediction of solid boronizing. To build the mathematics model between the solid boronizing and the prediction of boronizing performance, a neural network approach is adopted. This approach overcomes a lot of problems in the traditional approaches and provides a stable and effective approach. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-24553-4_1 | ICIC |
Keywords | Field | DocType |
traditional approach,neural network approach,effective approach,solid boronizing,performance prediction,boronizing performance,neural network system,mathematics model,neural network | Mathematics model,Computer science,Artificial intelligence,Artificial neural network,Performance prediction,Neural network system,Machine learning | Conference |
Volume | ISSN | Citations |
6840 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuxi Liu | 1 | 86 | 13.46 |
| ZhiFeng Zhang | 2 | 0 | 0.34 |